A particle swarm optimization approach for optimum design of PID controller in AVR system
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"A particle swarm optimization appro..." refers methods in this paper
...It was developed through simulation of a simplified social system, and has been found to be robust in solving continuous nonlinear optimization problems [ 11 ]–[15]....
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"A particle swarm optimization appro..." refers background in this paper
...A. Features of Particle Swarm Algorithm [10]–[ 13 ]...
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"A particle swarm optimization appro..." refers background or methods in this paper
...The results showed that the PSO-PID controller could obtain higher quality solution, indicating the drawbacks of GA method mentioned in [ 10 ] and [14]....
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...A. Features of Particle Swarm Algorithm [ 10 ]–[13]...
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...Moreover, the premature convergence of GA degrades its performance and reduces its search capability [ 10 ]....
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...This degradation in efficiency is apparent in applications with highly epistatic objective functions [i.e., where the parameters being optimized are highly correlated (the crossover and mutation operations cannot ensure better fitness of offspring because chromosomes in the population have similar structures and their average fitness is high toward the end of the evolutionary process)] [ 10 ], [14]....
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